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• Header 1
  • Header 2
    • Header 3
      • Header 4
• Buttons
• Data Visualization (in Tabs) Examples
  • Different Base R Styles
  • More Base R Variations
    • Back to Top button
    • Footer

📝 Last modified: 08-07-2025

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Data Visualization (in Tabs) Examples

Scatter Plot

Code

# Generate random data
set.seed(123)
x <- runif(10, 0, 10)
y <- runif(10, 0, 10)

# Create scatter plot
plot(x, y, 
     pch = 16, 
     col = "#4e9db5", 
     cex = 1.5,
     main = "Random Scatter Plot",
     xlab = "X values", 
     ylab = "Y values")

Bar Plot

Code

# Sample data
categories <- c("A", "B", "C", "D", "E")
values <- c(23, 17, 35, 29, 12)

# Create bar plot
barplot(values, 
        names.arg = categories,
        col = "#7cc349",
        main = "Category Comparison",
        xlab = "Categories", 
        ylab = "Values",
        border = "#528230")

Pie Chart

Code

# Data for pie chart
labels <- c("Research", "Analysis", "Writing", "Review")
sizes <- c(35, 25, 25, 15)
colors <- c("#4e9db5", "#7cc349", "#ecba4c", "#296b7f")

# Create pie chart
pie(sizes, 
    labels = labels, 
    col = colors,
    main = "Project Time Distribution")

Different Base R Styles

Enhanced Scatter

Code

# Random data with grid
set.seed(789)
x <- runif(10, 1, 8)
y <- runif(10, 2, 9)

# Enhanced scatter plot
plot(x, y, 
     pch = 19, 
     col = "#296b7f", 
     cex = 2,
     main = "Enhanced Scatter Plot",
     xlab = "X values", 
     ylab = "Y values",
     xlim = c(0, 10),
     ylim = c(0, 10))
grid(col = "gray", lty = "dotted")

Horizontal Bar

Code

# Data for horizontal bars
items <- c("Item A", "Item B", "Item C", "Item D")
counts <- c(15, 28, 22, 19)

# Horizontal barplot
barplot(counts, 
        names.arg = items,
        horiz = TRUE,
        col = "#7cc349",
        main = "Horizontal Bar Chart",
        xlab = "Count",
        border = "#528230")

Donut-style Pie

Code

# Simple data
activity <- c("Coding", "Testing", "Documentation", "Meetings")
time <- c(40, 20, 25, 15)
colors <- c("#4e9db5", "#7cc349", "#ecba4c", "#19424e")

# Create pie chart
pie(time, 
    labels = paste(activity, "(", time, "%)", sep = ""), 
    col = colors,
    main = "Time Allocation",
    clockwise = TRUE)

More Base R Variations

Line + Points

Code

# Time series style data
set.seed(999)
time <- 1:10
values <- cumsum(rnorm(10, 0.5, 1))

# Line plot with points
plot(time, values, 
     type = "b",
     pch = 16,
     col = "#296b7f",
     lwd = 2,
     main = "Trend Over Time",
     xlab = "Time Point",
     ylab = "Cumulative Value")

Stacked Bar

Code

# Matrix for stacked bars
data_matrix <- matrix(c(12, 8, 15, 
                       18, 12, 10, 
                       10, 15, 20), 
                     nrow = 3, byrow = TRUE)
colnames(data_matrix) <- c("Group A", "Group B", "Group C")
rownames(data_matrix) <- c("Category 1", "Category 2", "Category 3")

# Stacked barplot
barplot(data_matrix, 
        col = c("#4e9db5", "#7cc349", "#ecba4c"),
        main = "Stacked Bar Chart",
        xlab = "Groups",
        ylab = "Values",
        legend.text = TRUE)

Multi Pie

Code

# Split plotting area for multiple pies
par(mfrow = c(1, 2))

# First pie
pie1 <- c(30, 70)
pie(pie1, 
    labels = c("Yes", "No"), 
    col = c("#7cc349", "#ecba4c"),
    main = "Survey A")

# Second pie  
pie2 <- c(45, 55)
pie(pie2, 
    labels = c("Pass", "Fail"), 
    col = c("#4e9db5", "#296b7f"),
    main = "Survey B")

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Created by Samarth Mathur, PhD

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